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https://issues.apache.org/jira/browse/SPARK-32659?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wenchen Fan reassigned SPARK-32659:
-----------------------------------
Assignee: Yuming Wang
> Fix the data issue of inserted DPP on non-atomic type
> -----------------------------------------------------
>
> Key: SPARK-32659
> URL: https://issues.apache.org/jira/browse/SPARK-32659
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Yuming Wang
> Assignee: Yuming Wang
> Priority: Major
> Labels: correctness
>
> DPP has data issue when pruning on non-atomic type. for example:
> {noformat}
> spark.range(1000)
> .select(col("id"), col("id").as("k"))
> .write
> .partitionBy("k")
> .format("parquet")
> .mode("overwrite")
> .saveAsTable("df1");
> spark.range(100)
> .select(col("id"), col("id").as("k"))
> .write
> .partitionBy("k")
> .format("parquet")
> .mode("overwrite")
> .saveAsTable("df2")
> spark.sql("set
> spark.sql.optimizer.dynamicPartitionPruning.fallbackFilterRatio=2")
> spark.sql("set
> spark.sql.optimizer.dynamicPartitionPruning.reuseBroadcastOnly=false")
> spark.sql("SELECT df1.id, df2.k FROM df1 JOIN df2 ON struct(df1.k) =
> struct(df2.k) AND df2.id < 2").show
> {noformat}
> It should return two records, but it returns empty.
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